Progress in understanding multisensory integration in human have suggested researchers
that the integration may result into the enhancement or depression of incoming signals. It is …

Emotion recognition is an important pattern recognition problem that has inspired
researchers for several areas. Various data from humans for emotion recognition have been …

In recent years, the rapid advances in machine learning (ML) and information fusion has
made it possible to endow machines/computers with the ability of emotion understanding …

Traditionally, emotion recognition is performed in response to stimuli that engage either one
(vision: image or hearing: audio) or two (vision and hearing: video) human senses. An …

Emotion recognition systems (ERS) have become a popular research field to contribute to
human-machine interaction in different areas. Different kinds of applications on ERS can …

With the rapid development of artificial intelligence and mobile Internet, the new
requirements for human-computer interaction have been put forward. The personalized …

New research into human-computer interaction seeks to consider the consumer's emotional
status to provide a seamless human-computer interface. This would make it possible for …

Over the past two decades, automatic facial emotion recognition has received enormous
attention. This is due to the increase in the need for behavioral biometric systems and …

This study proposes a system that can recognize human emotional state from bio-signal.
The technology is provided to improve the interaction between humans and computers to …

Objective: This paper aims to use multimodal physiological signals to automatically
recognize human emotions, and a novel multimodal feature fusion approach is proposed …